Insights and recommendations to decrease an MCI

The Toronto Police Service (TPS) is undergoing continuous improvement efforts to enhance confidence and strengthen ties with our society by providing access to open data for public safety in Toronto. The Service would like students to examine Major Crime Indicators (MCI) data* available on the Toronto Police Service’s Public Safety Data Portal (PSDP), in order to conduct: 1) Exploratory Analysis of one particular crime type from the MCI dataset (Homicide, Robbery, Assault, Theft Over, Auto Theft, Break & Enter) 2) Insights of main crime tendencies and correlations with demographics, other MCIs, temporal data (time of day, day of week), and other factors 3) Final report and/or presentation of recommendations to decrease the crime rate and enhance crime prevention of the selected MCI *Consideration to be given on the use of text mining of street names and free form notes MCI Data can be found at http://data.torontopolice.on.ca/datasets/mci-2014-to-2019

Data visualization improvement

The Toronto Police Service (TPS) is undergoing continuous improvement efforts to enhance confidence and strengthen ties with our society by providing access to open data for public safety in Toronto. The Service would like students to recommend potential improvements of data visualization available on the Toronto Police Service’s Public Safety Data Portal (PSDP). Students can choose at least one visualization (map or dashboard) to : 1) Derive insights for the development of new visualizations for PSDP such as analytic dashboards, interactive visual exploration, heat maps that would enhance the “analytics journey” of users 2) Development of mock-up solutions that would expand the usage of data visualization by the public 3) Thorough ability to conduct and recommend ways to visualize analytics and tell a story would be a plus 4) Delivery of a final report and/or presentation of recommendations All maps can be found here: http://data.torontopolice.on.ca/pages/maps All data analytics visualizations can be found here: http://data.torontopolice.on.ca/pages/data-analytics

Data visualization improvement

The Toronto Police Service (TPS) is undergoing continuous improvement efforts to enhance confidence and strengthen ties with our society by providing access to open data for public safety in Toronto. The Service would like students to recommend potential improvements of data visualization available on the Toronto Police Service’s Public Safety Data Portal (PSDP). Students can choose at least one visualization (map or dashboard) to : 1) Derive insights for the development of new visualizations for PSDP such as analytic dashboards, interactive visual exploration, heat maps that would enhance the “analytics journey” of users 2) Development of mock-up solutions that would expand the usage of data visualization by the public 3) Thorough ability to conduct and recommend ways to visualize analytics and tell a story would be a plus 4) Delivery of a final report and/or presentation of recommendations All maps can be found here: http://data.torontopolice.on.ca/pages/maps All data analytics visualizations can be found here: http://data.torontopolice.on.ca/pages/data-analytics

Machine Learning applications to understand tendencies in Fatal Collisions

The Toronto Police Service (TPS) is undergoing continuous improvement efforts to enhance confidence and strengthen ties with our society by providing access to open data for public safety in Toronto. The Service would like students to identify artificial intelligence and machine learning opportunities for the Fatal Collisions data* available on the Toronto Police Service’s Public Safety Data Portal (PSDP), in order to: 1) Derive insights and patterns, especially among potential relationships between variables, such as demographics, temporal data, impaired driving, DUI, and others 2) Build predictive analytics models 3) Create hot-spot mapping 4) Deliver a final report and/or presentation of findings and recommendations *Consideration to be given on the use of text mining of street names and free form notes Leveraging other open data sets, such as City of Toronto, weather-related data, or others to be identified by students, is recommended. Fatal Collisions and other traffic related data can be found at http://data.torontopolice.on.ca/datasets/fatal-collisions